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Titlebook: SQL Server 2017 Query Performance Tuning; Troubleshoot and Opt Grant Fritchey Book 20185th edition Grant Fritchey 2018 Performance Optimiza

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樓主: McKinley
41#
發(fā)表于 2025-3-28 15:24:08 | 只看該作者
42#
發(fā)表于 2025-3-28 22:12:07 | 只看該作者
Creating a Baseline, a number of Performance Monitor metrics for gathering data on these parts of the system. Within the descriptions of most of the counters, I referred to comparing your metric to a baseline. This chapter will cover how to gather your metrics so that you have that baseline for later comparison. I’ll g
43#
發(fā)表于 2025-3-29 02:52:18 | 只看該作者
Query Performance Metrics,lyze the cause of a system bottleneck, it is important to examine the database application workload and identify the SQL queries causing the most stress on system resources. To do this, you can use Extended Events and other Management Studio tools.
44#
發(fā)表于 2025-3-29 03:14:10 | 只看該作者
45#
發(fā)表于 2025-3-29 07:55:03 | 只看該作者
Index Architecture and Behavior, columns, can be the basis for all performance problems starting with basic data access, continuing through joins, and ending in filtering clauses. For these reasons, it is extremely important for everyone—not just a DBA—to understand the different indexing techniques that can be used to optimize th
46#
發(fā)表于 2025-3-29 15:13:10 | 只看該作者
47#
發(fā)表于 2025-3-29 17:33:52 | 只看該作者
48#
發(fā)表于 2025-3-29 21:45:50 | 只看該作者
Query Store,es three pieces of functionality that you’re going to want to take advantage of. First, you get query metrics and execution plans, stored permanently in the database in structures that are easy to access so that you have good, flexible information about the performance of the queries on your system.
49#
發(fā)表于 2025-3-30 03:27:28 | 只看該作者
Key Lookups and Solutions,ith nonclustered indexes is the cost of excessive lookups, formerly known as ., which are a mechanism to navigate from a nonclustered index row to the corresponding data row in the clustered index or the heap. Therefore, it makes sense to look at the cause of lookups and to evaluate how to avoid thi
50#
發(fā)表于 2025-3-30 07:38:25 | 只看該作者
Statistics, Data Distribution, and Cardinality,oing to access data. It also takes advantage of enforced referential constraint and other table structures. Finally, and possibly most important, the optimizer must have information about the data that defines an index or a column. That information is referred to as a .. Statistics define both the d
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